市场细分和目标提供使用神经判别分析

Bopatriciat BOLUMA MANGATA, Miché Muselefu Kamasi, Parfum Bukanga Christian
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引用次数: 0

摘要

这项工作的主题是“市场细分和提供目标使用神经判别分析”的分类目的。现代应用程序提供的数据通常很大,它们的分类可能会受到干扰。在这项工作中,我们将为市场细分做出数据挖掘的贡献,并使用神经判别分析提供目标定位。这项工作的主要兴趣是为决策者提供更好的客户愿景,使他们能够更好地管理并通过提出可能被他们购买的产品来满足他们;对具有相似特征和消费行为的一群顾客进行有针对性的营销或特定的优惠;通过将新客户分配到一组客户中,了解他们对一种产品或一组产品的习惯和偏好,从而知道该为来到公司的新客户提供什么。因此,我们的方法预测了来到公司的新客户的阶层;在顾客第一次购买之后,这个等级就被预测出来了。个体被放置在概率最高的类别中。在这种情况下,客户端将被分配到具有营销服务的适当类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MARKET SEGMENTATION AND TARGETING OF OFFERS USING NEURAL DISCRIMINANT ANALYSIS
The theme of this work is "market segmentation and offer targeting using neural discriminant analysis" for classification purposes. The data provided by modern applications are usually large in size and their classification may be disturbed. In this work, we will give a contribution of data mining to market segmentation and offer targeting using neural discriminant analysis. The main interest of this work is to offer decision-makers a better vision of their customers, allowing them to better manage and satisfy them by proposing products likely to be purchased by them; to make targeted marketing or a particular offer to a group of customers with similar characteristics and consumption behaviors; to know what to offer to the new customer who comes to the company by assigning him to a group of customers in which the habits, preferences towards a product or a group of products are known. Our approach therefore predicts the class of a new customer who comes to the company; the class is predicted after the customer has made his first purchase.. Individuals are placed in the class with the highest probability. In this case, the client will be assigned to the appropriate class with the marketing services.
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